Bioinformatics analysis of circular RNAs associated with atrial fibrillation and their evaluation as predictive biomarkers.

ABSTRACT:

Background

Circular noncoding RNAs (circRNAs) are implicated in many human diseases, but their role in atrial fibrillation (AF) is poorly understood. In this study, we performed bioinformatics analysis of circRNA sequencing data to identify AF-related circRNAs.

Methods

Left atrial appendage (LAA) samples were obtained from patients with valvular heart disease and were categorised into the sinus rhythm (SR; n = 4) and AF (n = 4) groups. CircRNA sequencing analysis was performed to identify differentially expressed (DE) circRNAs in AF patients. Functional enrichment analysis of DE circRNAs was performed to identify enriched Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.

Results

We identified 3338 DE circRNAs, including 2147 upregul

SUBMITTER: Wang M 

PROVIDER: S-EPMC12070608 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature